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🚀 AI Engineer | Cabildo de Tenerife​

January 2025 – April 2025 · Tenerife, Canary Islands, Spain

I was embedded as the sole AI Engineer at Cabildo de Tenerife — the principal governing institution of Tenerife and one of Spain's largest public-sector organizations.

Impact​

  • 🏆 Outperformed Microsoft Copilot Studio on document retrieval benchmarks — higher precision and relevance using a custom-tuned pipeline on the institution's own corpus
  • ⚡ Shipped a production-grade RAG system handling real government data at scale, with reliability and security requirements typical of public infrastructure
  • 🏗️ Owned every architecture decision independently: retrieval strategy, embedding models, chunking approach, and orchestration layer
  • 🤝 Led cross-functional coordination — translated institutional requirements into concrete system design across technical and non-technical stakeholders
▶ Technical deep-dive: RAG system architecture

What I built: A full-stack institutional RAG system from the ground up — covering architecture, retrieval pipeline, LLM integration, and deployment. The system ingests, indexes, and queries the Cabildo's internal document corpus, enabling staff to surface relevant institutional knowledge in seconds rather than hours.

Key decisions:

  • Chunking strategy — tuned to the structure and length distribution of government reports, not applied as a generic default
  • Embedding model — selected for domain fit and retrieval quality on Spanish institutional text
  • Retrieval architecture — designed around the specific query patterns and vocabulary of the institution's staff
  • LLM integration — chosen for the cost / quality / latency tradeoff appropriate to an internal tool, not the most popular option

Validation: Benchmarked against Microsoft Copilot Studio on the same document corpus. Custom pipeline achieved higher precision and relevance. The system now runs in production.

Stack & scope​

Full-stack RAG · LLM integration · Document indexing · Vector retrieval · Institutional deployment · AI systems architecture · Cross-team technical leadership

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